Identification of ceRNA Regulatory Networks Driven by the lncRNA NEAT1 in Multiple Myeloma

The lncRNA NEAT1 is overexpressed in multiple myeloma (MM) plasma cells and plays a key role in MM pathogenesis. NEAT1 is involved in ceRNA network in several cancers; however, data in MM are virtually absent. This study identified a NEAT1-driven ceRNA network involving 96 miRNAs and 40 target genes, selected as concurrently downregulated in NEAT1-KD AMO1 cells and upregulated in NEAT1-overexpressing AMO1 cells (AMO1-OVX). The co-expression of NEAT1 and the targets was validated in MM patients (GSE116294, GSE13591, GSE6477, CoMMpass), and in NEAT1-KD NCI-H929, LP1, and KMS27 cell lines, showing for all targets a consistent downregulation, resembling that of NEAT1. The functional implication of the ceRNA network was explored by functional enrichment analyses of the 40 targets, identifying 78 significant gene sets, 17 of which were found significantly enriched by GSEA analysis in at least one experimental condition among NEAT1-KD LP1, NCI-H929, and KMS27 cells, AMO1-OVX cells, or the extreme quartiles of NEAT1 expression in the CoMMpass dataset. Noteworthy, the cell cycle gene set was validated in 5 out of 6 conditions tested, suggesting that in MM the impact of NEAT1 upregulation on the cell cycle, experimentally demonstrated in our earlier publications, may be attributable, at least partially, to ceRNA mechanisms.

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Journal
Journal of Cellular and Molecular Medicine
Published
2026-04-01
DOI
https://doi.org/10.1111/jcmm.71123
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
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article

Identification of ceRNA Regulatory Networks Driven by the lncRNA NEAT1 in Multiple Myeloma

Francesco Passamonti, Roberto Piva, Luca Agnelli, Noemi Puccio et al.
Journal of Cellular and Molecular Medicine
Cancer-related molecular mechanisms research
article

Identification of ceRNA Regulatory Networks Driven by the lncRNA NEAT1 in Multiple Myeloma

Francesco Passamonti, Roberto Piva, Luca Agnelli, Noemi Puccio, Domenica Ronchetti, Ilaria Silvestris, Federica Torricelli, Antonino Neri, Marco Bolis, Niccolò Bolli, Valentina Traini, Elisa Taìana, Ilaria Craparotta, G. Fabbiano, Andrea Devecchi
article en

Abstract

The lncRNA NEAT1 is overexpressed in multiple myeloma (MM) plasma cells and plays a key role in MM pathogenesis. NEAT1 is involved in ceRNA network in several cancers; however, data in MM are virtually absent. This study identified a NEAT1-driven ceRNA network involving 96 miRNAs and 40 target genes, selected as concurrently downregulated in NEAT1-KD AMO1 cells and upregulated in NEAT1-overexpressing AMO1 cells (AMO1-OVX). The co-expression of NEAT1 and the targets was validated in MM patients (GSE116294, GSE13591, GSE6477, CoMMpass), and in NEAT1-KD NCI-H929, LP1, and KMS27 cell lines, showing for all targets a consistent downregulation, resembling that of NEAT1. The functional implication of the ceRNA network was explored by functional enrichment analyses of the 40 targets, identifying 78 significant gene sets, 17 of which were found significantly enriched by GSEA analysis in at least one experimental condition among NEAT1-KD LP1, NCI-H929, and KMS27 cells, AMO1-OVX cells, or the extreme quartiles of NEAT1 expression in the CoMMpass dataset. Noteworthy, the cell cycle gene set was validated in 5 out of 6 conditions tested, suggesting that in MM the impact of NEAT1 upregulation on the cell cycle, experimentally demonstrated in our earlier publications, may be attributable, at least partially, to ceRNA mechanisms.

Journal of Cellular and Molecular MedicineVol. 30(7)
University of Milan (IT), Mario Negri Institute for Pharmacological Research (IT), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Azienda Sanitaria Unità Locale di Reggio Emilia (IT), Institute of Oncology Research (CH), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Fondazione IRCCS Istituto Nazionale dei Tumori (IT), University of Turin (IT)
Fondazione AIRC per la ricerca sul cancro ETS, Ministero della Salute
Openalex Percentile: Top 33%
Cancer-related molecular mechanisms research
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